93 citations · 513 across the 46 of their papers we have counts for
6 papers · 1 filter
Hyperparameter selection for Discrete Mumford-Shah
Charles-Gérard Lucas, Barbara Pascal, Nelly Pustelnik +1
This work focuses on a parameter-free joint piecewise smooth image denoising and contour detection. Formulated as the minimization of a discrete Mumford-Shah functional and estimat…
Nonsmooth convex optimization to estimate the Covid-19 reproduction number space-time evolution with robustness against low quality data
Barbara Pascal, Patrice Abry, Nelly Pustelnik +3
Daily pandemic surveillance, often achieved through the estimation of the reproduction number, constitutes a critical challenge for national health authorities to design countermea…
Wavelet eigenvalue regression in high dimensions
Patrice Abry, B. Cooper Boniece, Gustavo Didier +1
In this paper, we construct the wavelet eigenvalue regression methodology in high dimensions. We assume that possibly non-Gaussian, finite-variance -variate measurements are mad…
Deep Learning-based Extreme Heatwave Forecast
Valérian Jacques-Dumas, Francesco Ragone, Pierre Borgnat +2
Because of the impact of extreme heat waves and heat domes on society and biodiversity, their study is a key challenge. We specifically study long-lasting extreme heat waves, which…
Distance to healthy cardiovascular dynamics from fetal heart rate scale-dependent features in pregnant sheep model of human labor predicts cardiovascular decompensation
Stéphane G. Roux, Nicolas B. Garnier, Patrice Abry +2
The overarching goal of the present work is to contribute to the understanding of the relations between fetal heart rate (FHR) temporal dynamics and the well-being of the fetus, no…
On high-dimensional wavelet eigenanalysis
Patrice Abry, B. Cooper Boniece, Gustavo Didier +1
In this paper, we characterize the asymptotic and large scale behavior of the eigenvalues of wavelet random matrices in high dimensions. We assume that possibly non-Gaussian, finit…